Michael Conover
Impact in
- Communication top 0.5%
- Social Media and Politics
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Social Media and Politics 6
-
- Sentiment Analysis and Opinion Mining 1
- Topic Modeling 1
- Co-authors
- Filippo Menczer (8 shared papers)Alessandro Flammini (7 shared papers)Bruno Gonçalves (5 shared papers)Mark Meiss (2 shared papers)Emilio Ferrara (2 shared papers)Azadeh Nematzadeh (3 shared papers)Yong‐Yeol Ahn (1 shared paper)Matthew Francisco (1 shared paper)
- Journals
- PLoS ONE (2 papers)BMC Bioinformatics (1 paper)PeerJ Computer Science (1 paper)EPJ Data Science (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Michael Conover
17 papers receiving 2.2k citations
Michael Conover's Hit Papers
Peers
Comparison fields: 5 of 143
- Communication 600
- Statistical and Nonlinear Physics 307
- General Social Sciences 104
- Sociology and Political Science 627
- Artificial Intelligence 390
Countries citing papers authored by Michael Conover
This map shows the geographic impact of Michael Conover's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Conover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conover more than expected).
Fields of papers citing papers by Michael Conover
This network shows the impact of papers produced by Michael Conover. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Conover. The network helps show where Michael Conover may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Conover, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Predicting the Political Alignment of Twitter Users Hit paper breakdown → | 2011 | 427 |
| 2 | Truthy Hit paper breakdown → | 2011 | 399 |
| 3 | Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters Hit paper breakdown → | 2019 | 368 |
| 4 | Political Polarization on Twitter Hit paper breakdown → | 2021 | 265 |
| 5 | 2015 | 243 | |
| 6 | 2012 | 183 | |
| 7 | 2013 | 146 | |
| 8 | 2013 | 113 | |
| 9 | 2021 | 112 | |
| 10 | 2016 | 38 | |
| 11 | 2009 | 11 | |
| 12 | 2008 | 10 | |
| 13 | 2011 | 8 | |
| 14 | Testing extensive use of NER tools in article classification and a statistical approach for method interaction extraction in the protein-protein interaction literature | 2010 | 4 |
| 15 | 2012 | 2 | |
| 16 | 2010 | 1 | |
| 17 | 2018 | 1 |
About Michael Conover
Michael Conover is a scholar working on Communication, Artificial Intelligence, General Social Sciences, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 17 papers that have together received 2.3k indexed citations. Recurring topics across this work include Social Media and Politics (6 papers), Biomedical Text Mining and Ontologies (2 papers), Misinformation and Its Impacts (2 papers), Data Visualization and Analytics (2 papers), Regional Economics and Spatial Analysis (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Digital Humanities and Scholarship (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Communication (600 citations), Statistical and Nonlinear Physics (307 citations), General Social Sciences (104 citations), Sociology and Political Science (627 citations) and Artificial Intelligence (390 citations). Michael Conover has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Filippo Menczer, Alessandro Flammini, Bruno Gonçalves, Mark Meiss, Emilio Ferrara, Azadeh Nematzadeh, Yong‐Yeol Ahn, Matthew Francisco, Karissa McKelvey and Clayton A. Davis. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, PeerJ Computer Science, EPJ Data Science and Communications of the ACM.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.